Anytime Optimal Trajectory Repairing for Autonomous Vehicles

Adapting to dynamically changing situations remains a pivotal challenge for automated driving systems, which demand robust and efficient solutions. Occasional perception errors inherent in artificial intelligence further complicate the task. Whereas traditional motion planning algorithms address thi...

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Bibliographic Details
Main Authors: Kailin Tong, Martin Steinberger, Martin Horn, Selim Solmaz, Daniel Watzenig
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10979545/
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